Amith Mohan

Results-driven Data Analyst with 2+ years of experience converting large-scale NSE/BSE financial datasets into actionable dashboards, ad hoc insights, and automated reports. Delivered a 40% reduction in data processing time and a 5% portfolio ROI improvement. Proficient in Python (Pandas, NumPy, Matplotlib, Seaborn, scikit-learn), SQL, Power BI, Tableau, and Excel.

Experienced in building ML-driven analytical tools — from market data validation pipelines to predictive signal-generation models — with certifications in AI application development, Generative AI, and Advanced Trading Algorithms.

Junior Research Analyst - Findoc Financial Services Group - Mysuru, Karnataka

(2025-04 - 2026-06)

• Analysed large-scale NSE/BSE and global market datasets using Python (Pandas, NumPy, Polars) to identify trading trends; data-driven insights contributed to a 5% improvement in portfolio ROI.
• Built and maintained automated data validation pipelines (Polars + Parquet) to verify OHLC market data against NSE bhav copy files, significantly reducing data errors in downstream analytics.
• Designed and maintained Power BI and Tableau dashboards for real-time KPI tracking and executive stakeholder reporting, reducing manual reporting effort by ~30%.
• Conducted ad hoc analysis and gap analysis to identify inefficiencies in trading strategies and deliver data-backed process improvement recommendations.
• Developed ML-powered signal-generation models using frequency rate-of-change analysis on index data, supporting market entry decision-making with quantitative evidence.
• Maintained data governance standards and ensured data integrity across all reporting and modelling workflows.

Data Associate - Findoc Financial Services Group - Mysuru, Karnataka

(2024-03 - 2025-03)

• Automated ETL pipelines in Python, cutting data processing time by 40% and eliminating manual errors across research reporting workflows.
• Designed database architecture from scratch and established version-controlled data pipelines for real-time index calculation and systematic data management.
• Performed end-to-end data cleaning, data wrangling, and transformation on large structured financial datasets to ensure accurate and consistent reporting.
• Conducted exploratory data analysis (EDA) to uncover patterns and trends; findings directly informed quarterly strategic decisions.
• Delivered ad hoc analysis and structured reporting for research teams; maintained audit-ready datasets for internal and external stakeholders.

Data Science Intern - Oasis Infobyte - Remote

(2023-10 - 2023-11)

• Built K-Means customer segmentation model (scikit-learn); outputs used to redesign targeting strategy.
• Developed SQL-based ETL processes and applied statistical analysis and data storytelling to communicate insights to non-technical stakeholders.

Data Science Intern - Exposys Data Labs - Remote

(2023-09 - 2023-10)

• Created Power BI and Tableau dashboards for business performance monitoring, enabling self-serve analytics for non-technical users.
• Conducted EDA and feature engineering; improved churn prediction model accuracy by 12% through cross-validation and hyperparameter tuning.

MBA - Financial Management - IGNOU

PG Certificate - Data Science in Financial Markets - NISM (2023)

BA - Economics - University of Calicut (2021)